# kb

id: invesalius-20260505-0
file: data/en.wikipedia.org/wiki/InVesalius-0.md
category: reference
title: InVesalius
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/InVesalius
date_saved: 2026-05-05T10:11:56.171938+00:00
instance: kb-cron
parent: invesalius-20260505-0
summary:
InVesalius is a free medical software used to generate virtual reconstructions of structures in the human body. Based on two-dimensional images, acquired using computed tomography or magnetic resonance imaging equipment, the software generates virtual three-dimensional models correspondent to anatomical parts of the human body. After constructing three-dimensional DICOM images, the software allows the generation of STL (stereolithography) files. These files can be used for rapid prototyping. InVesalius was developed at CTI (Renato Archer Information Technology Center), a research institute of the Brazilian Science and Technology Center and is available at no cost at the homepage of Public Software Portal homepage. The software license is CC-GPL 2. It is available in English, Japanese, Czech, Portuguese (Brazil), Russian, Spanish, Italian, German, Portuguese, Turkish (Turkey), Romanian, French, Korean, Catalan, Chinese (Taiwan) and Greek. InVesalius was developed using Python and works under Linux, Windows and Mac OS X. It also uses graphic libraries VTK, wxPython, Numpy, Scipy and GDCM. The software's name is a tribute to Belgian physician Andreas Vesalius (1514–1564), considered the "father of modern anatomy". Developed since 2001 for attending Brazilian Public Hospitals demands, InVesalius development was directed for promoting social inclusion of individuals with severe facial deformities. Since then, however, it


id: it-20260505-0
file: data/en.wikipedia.org/wiki/IT++-0.md
category: reference
title: IT++
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/IT++
date_saved: 2026-05-05T10:11:57.326315+00:00
instance: kb-cron
parent: it-20260505-0
summary:
IT++ is a C++ library of classes and functions for linear algebra, numerical optimization, signal processing, communications, and statistics. It is being developed by researchers in these areas and is widely used by researchers, both in the communications industry and universities. The IT++ library originates from the former Department of Information Theory at the Chalmers University of Technology, Gothenburg, Sweden. The kernel of the IT++ library is templated vector and matrix classes, and a set of accompanying functions. Such a kernel makes IT++ library similar to Matlab/Octave. For increased functionality, speed and accuracy, IT++ can make extensive use of existing free and open source libraries, especially BLAS, LAPACK and FFTW libraries. Instead of BLAS and LAPACK, some optimized platform-specific libraries can be used as well, i.e.: ATLAS (Automatically Tuned Linear Algebra Software) - includes optimised BLAS, CBLAS and a limited set of LAPACK routines; MKL (Intel Math Kernel Library) - includes all required BLAS, CBLAS, LAPACK and FFT routines (FFTW not required); ACML (AMD Core Math Library) - includes BLAS, LAPACK and FFT routines (FFTW not required). It is possible to compile and use IT++ without any of the above-listed libraries, but the functionality will be reduced. IT++ works on


id: jasp-20260505-0
file: data/en.wikipedia.org/wiki/JASP-0.md
category: reference
title: JASP
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/JASP
date_saved: 2026-05-05T10:11:58.479946+00:00
instance: kb-cron
parent: jasp-20260505-0
summary:
JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form. JASP generally produces APA style results tables and plots to ease publication. It promotes open science via integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by sponsors, several universities, and research funds. == Overview == In recognition of Bayesian pioneer Sir Harold Jeffreys, JASP stands for Jeffreys’s Amazing Statistics Program. == Analyses == JASP offers frequentist inference and Bayesian inference on the same statistical models. Frequentist inference uses p-values and confidence intervals to control error rates in the limit of infinite perfect replications. Bayesian inference uses credible intervals and Bayes factors to estimate credible parameter values and model evidence given the available data and prior knowledge.The following analyses are available in JASP in comparison to SPSS: === Other features === Accessibility features (full and partial app zooming, key-board shortcut support / ALT-Navigation, VPAT) integrated help files and annotated data library examples for many


id: joelib-20260505-0
file: data/en.wikipedia.org/wiki/JOELib-0.md
category: reference
title: JOELib
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/JOELib
date_saved: 2026-05-05T10:11:59.648047+00:00
instance: kb-cron
parent: joelib-20260505-0
summary:
JOELib is computer software, a chemical expert system used mainly to interconvert chemical file formats. Because of its strong relationship to informatics, this program belongs more to the category cheminformatics than to molecular modelling. It is available for Windows, Unix and other operating systems supporting the programming language Java. It is free and open-source software distributed under the GNU General Public License (GPL) 2.0. == History == JOELib and OpenBabel were derived from the OELib Cheminformatics library. == Logo == The project logo is just the word JOELib in the Tengwar script of J. R. R. Tolkien. The letters are grouped as JO-E-Li-b. Vowels are usually grouped together with a consonant, but two following vowels must be separated by a helper construct. == Major features == Chemical expert system Query and substructure search (based on Simplified molecular-input line-entry system (SMARTS), a SMILES extension Clique detection QSAR Data mining Molecule mining, special case of Structured Data Mining Feature–descriptor calculation Partition coefficient, log P Rule-of-five Partial charges Fingerprint calculation etc. Chemical file formats Chemical table file: MDL Molfile, SD format SMILES Gaussian Chemical Markup Language MOPAC == See also == OpenBabel - C++ version of JOELib-OELib Jmol Chemistry Development Kit (CDK) Comparison


id: kalgebra-20260505-0
file: data/en.wikipedia.org/wiki/KAlgebra-0.md
category: reference
title: KAlgebra
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/KAlgebra
date_saved: 2026-05-05T10:12:00.853503+00:00
instance: kb-cron
parent: kalgebra-20260505-0
summary:
KAlgebra is a mathematical graph calculator included in the KDE education package. While it is based on the MathML content markup language, knowledge of MathML is not required for use. The calculator includes numerical, logical, symbolic, and analytical functions, and can plot the results onto a 2D or 3D graph. KAlgebra is free and open source software, licensed under the GPL-2.0-or-later license. KAlgebra has been mentioned by various media sources as free / open source educational programs. == User interface and syntax == KAlgebra uses an intuitive algebraic syntax, similar to those used on modern graphing calculators. User-entered expressions are converted to MathML in the background, or they can be entered directly. The program is divided into four views, Console, 2D Graph, 3D Graph, and Dictionary. A series of calculations can be performed with user-defined scripts, which are macros that can be reused and shared. The dictionary includes a comprehensive list of all built-in functions in KAlgebra. Functions can be looked up with parameters, examples, formulas and sample plots. Over 100 functions and operations are currently supported. == Graphing and dictionary == In the 2D and 3D graph views, functions can evaluated and plotted. Currently KAlgebra only supports 3D graphs


id: kalypso-software-20260505-0
file: data/en.wikipedia.org/wiki/Kalypso_(software)-0.md
category: reference
title: Kalypso (software)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Kalypso_(software)
date_saved: 2026-05-05T10:12:01.997932+00:00
instance: kb-cron
parent: kalypso-software-20260505-0
summary:
Kalypso is an open source modelling program. It focuses on numerical simulations in water management and ecology such as the generation of inundation and flood risk maps by hydrologic and hydrodynamic models and GIS functionality. The Kalypso software system has been collaboratively developed in a joint project by the company Björnsen Consulting Engineers (BCE) and the department for river and coastal engineering at Hamburg University of Technology, Germany. It is available for download at SourceForge.net under the GNU LGPL. == Kalypso Modules == Kalypso is currently (November 2010) divided into six modules: three numerical simulation modules, two tools for complex flood and risk mapping and an evacuation tool. Kalypso Hydrology (rainfall-runoff simulation) Kalypso WSPM (one-dimensional steady hydrodynamic simulation) Kalypso 1D/2D (coupled one- and two-dimensional unsteady hydrodynamic simulation) Kalypso Flood (flood mapping tool) Kalypso Risk (flood risk assessment tool) Kalypso Evacuation (evacuation strategy tool) The modules are based on a common modelling framework called KalypsoBASE and are published as open source software under the LGPL license. KalypsoBASE itself is a collection of Eclipse plug-ins and can be easily extended to provide new and independent modules. == Projects == A few software projects are using KalypsoBASE. === nofdp IDSS === nofdp (nature-oriented


id: kisao-20260505-0
file: data/en.wikipedia.org/wiki/KiSAO-0.md
category: reference
title: KiSAO
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/KiSAO
date_saved: 2026-05-05T10:12:03.144516+00:00
instance: kb-cron
parent: kisao-20260505-0
summary:
The Kinetic Simulation Algorithm Ontology (KiSAO) supplies information about existing algorithms available for the simulation of systems biology models, their characterization and interrelationships. KiSAO is part of the BioModels.net project and of the COMBINE initiative. == Structure == KiSAO consists of three main branches: simulation algorithm simulation algorithm characteristic simulation algorithm parameter The elements of each algorithm branch are linked to characteristic and parameter branches using has characteristic and has parameter relationships accordingly. The algorithm branch itself is hierarchically structured using relationships which denote that the descendant algorithms were derived from, or specify, more general ancestors. == See also == COMBINE SED-ML MIRIAM SBO TEDDY == References ==


id: klettres-20260505-0
file: data/en.wikipedia.org/wiki/KLettres-0.md
category: reference
title: KLettres
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/KLettres
date_saved: 2026-05-05T10:12:04.308594+00:00
instance: kb-cron
parent: klettres-20260505-0
summary:
KLettres is an educational program that helps the users learn the alphabet as well as pronunciation. It is free and open source software, licensed under the terms of the GPL. The software is part of the KDE Education Project, and is meant to teach very young children aged 2 to 6 years the alphabet. There are currently 4 levels in the game and supports 25 different languages. == Levels == KLettres features four levels, with settings for adult ("grown up") and children ("kid"). In level 1, the letter is displayed and the user hears it. In level 2, the letter is not displayed and the user only hears it. In level 3, the syllable is displayed and the user hears it. In level 4, the syllable is not displayed and the user only hears it. == Languages supported == Arabic, Czech, Brazilian Portuguese, Danish, Dutch, British English, English, English Phonix, French, German, Hebrew, Hungarian, Italian, Kannada, Hebrew, Hindi Romanized, Low Saxon, Luganda, Malayalam, Norwegian Bokmål, Punjabi, Spanish, Slovak, Ukrainian and Telugu. == Release history == May 13, 2004: v1.3, added Italian and special characters. March 8, 2005: Code refactoring, open usability review. March 14, 2005: 3 themes included (classroom, arctic


id: labplot-20260505-0
file: data/en.wikipedia.org/wiki/LabPlot-0.md
category: reference
title: LabPlot
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LabPlot
date_saved: 2026-05-05T10:12:05.482566+00:00
instance: kb-cron
parent: labplot-20260505-0
summary:
LabPlot is a free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis. LabPlot is available, under the GPL-2.0-or-later license, for Windows, macOS, Linux, FreeBSD and Haiku operating systems. It has a graphical user interface, a command-line interface, and an interactive and animated notebook interface. It is similar to Origin and able to import Origin's data files. Features include the Hilbert transform function, statistics, color maps, conditional formatting, plot digitization and multi-axes. == History == In 2008, developers of LabPlot and SciDAVis (another Origin clone, forked from QtiPlot) "found their project goals to be very similar" and decided to merge their code into a common backend while maintaining two frontends: LabPlot, integrated with the KDE desktop environment (DE); and SciDAVis, written in DE-independent Qt with fewer dependencies for easier cross-platform use. Starting April 2024, LabPlot received funding from NLnet's NGI0 Core grant to add scripting capabilities (via Python and a public interface), more data analysis functions, and statistical analysis features. == See also == List of statistical software List of information graphics software == References == == External links == Official website NLnet Foundation grant


id: lammps-20260505-0
file: data/en.wikipedia.org/wiki/LAMMPS-0.md
category: reference
title: LAMMPS
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LAMMPS
date_saved: 2026-05-05T10:12:06.699876+00:00
instance: kb-cron
parent: lammps-20260505-0
summary:
LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) is a molecular dynamics program developed by Sandia National Laboratories. It utilizes the Message Passing Interface (MPI) for parallel communication, enabling high-performance simulations. LAMMPS is a free and open-source software, distributed under the terms of the GNU General Public License. It is available on Linux, Windows, and macOS platforms. == History == LAMMPS was developed in the mid-1990s under a Cooperative Research and Development Agreement between two laboratories from the United States Department of Energy (Sandia National Laboratories and Lawrence Livermore National Laboratory) and three companies (Cray, DuPont, and Bristol-Myers Squibb). The goal was to create a parallel molecular dynamics code capable of running on large supercomputers for materials and biomolecular modeling. Initially written in Fortran, LAMMPS has since been rewritten in C++ to provide more flexibility and ease in adding new features. == Features == LAMMPS is a highly flexible and scalable molecular dynamics simulator that supports both single-processor and parallel execution through MPI and OpenMP. GPU acceleration is also available. LAMMPS can be run from an input script, as well as a graphical interface GUI. Its modular, open-source C++ design is easy to extend or integrate with other codes or languages like


id: the-lattice-project-20260505-0
file: data/en.wikipedia.org/wiki/The_Lattice_Project-0.md
category: reference
title: The Lattice Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/The_Lattice_Project
date_saved: 2026-05-05T10:12:07.911267+00:00
instance: kb-cron
parent: the-lattice-project-20260505-0
summary:
The Lattice Project was a volunteer computing project that combined computing resources, Grid middleware, specialized scientific application software and web services into a comprehensive Grid computing system for scientific analysis. It ran the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software to determine the relationships between different genetic samples. A major aspect of the project makes use of the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The Lattice Project maintained a separate BOINC web site, but the site is dead as of this writing, causing this project to shut down because BOINC depends on this website to get setup information to set this project up on its clients. == References == == External links == The Lattice Project website archive


id: leiden-classical-20260505-0
file: data/en.wikipedia.org/wiki/Leiden_Classical-0.md
category: reference
title: Leiden Classical
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Leiden_Classical
date_saved: 2026-05-05T10:12:09.200501+00:00
instance: kb-cron
parent: leiden-classical-20260505-0
summary:
Leiden Classical was a volunteer computing project run by the Theoretical Chemistry Department of the Leiden Institute of Chemistry at Leiden University. Leiden Classical used the BOINC system, and enabled scientists or science students to submit their own test simulations of various molecules and atoms in a classical mechanics environment. ClassicalDynamics is a program (and with it a library) completely written in C++. The library is covered by the LGPL license and the main program is covered by the GPL. The project shut down on June 5, 2018. == Joining the project == Participation was possible via the BOINC manager. Using this software one was once able to create an account in the project. Then someone can make a model of a dynamic system and simulation participating run. There are several models possible, to interactions between molecules or planets. == User Submitted Calculations == To create a personal calculation, a user's model had to have six defined variables: Colors of the molecules Box in which the model is run Number of particles in the simulation Interaction between the particles Gravity Coulomb force Lennard-Jones interaction Morse interaction Rydberg interaction Harmonic spirit Harmonic bending Recurrent torsion interactions Distance conditions Confirmation parameter(s) ==


id: lhc-home-20260505-0
file: data/en.wikipedia.org/wiki/LHC@home-0.md
category: reference
title: LHC@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LHC@home
date_saved: 2026-05-05T10:12:10.388593+00:00
instance: kb-cron
parent: lhc-home-20260505-0
summary:
LHC@home is a volunteer computing project researching particle physics that uses the Berkeley Open Infrastructure for Network Computing (BOINC) platform. The project's computing power is utilized by physicists at CERN in support of the Large Hadron Collider and other experimental particle accelerators. The project is run with the help of over 1,260 active volunteer users contributing more than 3,000 computers processing at a combined 52 teraFLOPS as of September 2024. The project is cross-platform, and runs on a variety of computer hardware configurations. == Applications == The LHC@home project currently runs four applications—Atlas, CMS, SixTrack, and Test4Theory—which deal with different aspects of research conducted in LHC such as calculating particle beam stability and simulating proton collisions. Atlas, CMS, and Test4Theory use VirtualBox, an x86 virtualization software package. === Atlas === Atlas uses volunteer computing power to run simulations of the ATLAS experiment. It can be run in VirtualBox or natively on Linux. === Beauty === Beauty (LHCb) compared the decay of bottom quarks (b) and bottom antiquarks (b), which also known as beauty quarks. The participation of volunteers in the application was suspended indefinitely on 19 November 2018. === CMS === The CMS application (formerly a standalone project called CMS@Home)


id: libsbml-20260505-0
file: data/en.wikipedia.org/wiki/LibSBML-0.md
category: reference
title: LibSBML
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/LibSBML
date_saved: 2026-05-05T10:12:11.547428+00:00
instance: kb-cron
parent: libsbml-20260505-0
summary:
LibSBML is an open-source software library that provides an application programming interface (API) for the SBML (Systems Biology Markup Language ) format. The libSBML library can be embedded in a software application or used in a web servlet (such as one that might be served by Apache Tomcat) as part of the application or servlet's implementation of support for reading, writing, and manipulating SBML documents and data streams. The core of libSBML is written in ISO standard C++; the library provides API for many programming languages via interfaces generated with the help of SWIG. The libSBML library is free software released under the terms of the GNU Lesser General Public License (LGPL) as published by the Free Software Foundation; either version 2.1 of the License, or any later version. LibSBML was developed thanks to funding from many agencies, particularly the National Institute of General Medical Sciences (NIGMS, USA) as well as the Defense Advanced Research Projects Agency (DARPA, USA) under the Bio-SPICE program. == Description == The Systems Biology Markup Language (SBML) is an XML-based format for encoding computational models of a sort common in systems biology. Although SBML is based upon XML, and thus software developers could support SBML


id: lumi-software-20260505-0
file: data/en.wikipedia.org/wiki/Lumi_(software)-0.md
category: reference
title: Lumi (software)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Lumi_(software)
date_saved: 2026-05-05T10:12:12.707973+00:00
instance: kb-cron
parent: lumi-software-20260505-0
summary:
lumi is a free, open source and open development software project for the analysis and comprehension of Illumina expression and methylation microarray data. The project was started in the summer of 2006 and set out to provide algorithms and data management tools of Illumina in the framework of Bioconductor. It is based on the statistical R programming language. == Features == The lumi package provides an analysis pipeline for probe-level Illumina expression and methylation microarray data, including probe-identifier management (nuID), updated probe-to-gene mapping and annotation using the latest release of RefSeq (nuIDblast), probe-intensity transformation (VST) and normalization (RSN), quality control (QA/QC) and preprocessing methods specific for Illumina methylation data. By extending the ExprSet object with Illumina-specific features, lumi is designed to work with other Bioconductor packages, such as Limma and GOstats to detect differential genes and conduct Gene Ontology analysis. == History == The lumi project was started in the summer of 2006 at the Bioinformatics Core Facility of the Robert H. Lurie Comprehensive Cancer Center, Northwestern University. Originally lumi was designed for the analysis of Illumina Expression BeadArray data. Starting from 2010 (version > 2.0), functions of analyzing Illumina methylation microarray data was added. The project team consists of


id: madagascar-software-20260505-0
file: data/en.wikipedia.org/wiki/Madagascar_(software)-0.md
category: reference
title: Madagascar (software)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Madagascar_(software)
date_saved: 2026-05-05T10:12:14.291215+00:00
instance: kb-cron
parent: madagascar-software-20260505-0
summary:
Madagascar is a software package for multidimensional data analysis and reproducible computational experiments. Technology developed using the Madagascar project management system is transferred in the form of recorded processing histories, which become "computational recipes" to be verified, exchanged, and modified by users of the system. == Features == The Madagascar environment consists of: Standalone programs for out-of-core data analysis; Standalone programs for geophysical data processing and imaging; A development kit for C, C++, Java, Fortran-77, Fortran-90, Python, Matlab, and Octave; A framework for reproducible numerical experiments, based on SCons; A framework for scientific publications, based on SCons and LaTeX; A collection of reproducible scientific articles also used as usage examples and regression tests for the standalone programs; A collection of datasets used as input to reproducible numerical experiments. == Example script == An example SConstruct file is shown below Note that SConstruct by itself does not do any job other than setting rules for building different targets. The targets get built when one executes scons on the command line. Running scons produces bash$ scons scons: Reading SConscript files ... scons: done reading SConscript files. scons: Building targets ... retrieve(["wz.35.H"], []) < wz.35.H /RSF/bin/sfdd form=native | /RSF/bin/sfwindow n1=400 j1=2 | /RSF/bin/sfsmooth


id: malaria-control-project-20260505-0
file: data/en.wikipedia.org/wiki/Malaria_Control_Project-0.md
category: reference
title: Malaria Control Project
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Malaria_Control_Project
date_saved: 2026-05-05T10:12:15.513424+00:00
instance: kb-cron
parent: malaria-control-project-20260505-0
summary:
malariacontrol.net was a volunteer computing project to simulate the transmission dynamics and health effects of malaria. It was part of the Africa@home project. The project was terminated on 21 June 2016. == History == The malariacontrol.net domain name was first registered on 19 May 2005 under Swiss Tropical Institute. This project was under Africa@home where the latter was conceived and developed by European Organization for Nuclear Research (CERN). malariacontrol.net was the first to use volunteer computing to model diseases. The model simulates malaria infection in 50,000 to 100,000 people. Each work unit lasted for an hour in average personal computers and the results were returned to University of Geneva for evaluation by researchers. malariacontrol.net ran all the simulations by using stochastic simulation model. Since 4 November 2010, using the financial support from Bill & Melinda Gates Foundation, Malariacontrol.net developed an open-source software named "Open Malaria" which can be used to simulate outcomes in various types of malaria transmission settings. On 21 June 2016, malariacontrol.net announced that the project has been terminated due to financial constraints in upgrading their servers for further volunteer computing operations. == Impact == Over 10 years, malariacontrol.net has produced 30 peer-reviewed articles. In 2008, among the


id: marble-software-20260505-0
file: data/en.wikipedia.org/wiki/Marble_(software)-0.md
category: reference
title: Marble (software)
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Marble_(software)
date_saved: 2026-05-05T10:12:16.672710+00:00
instance: kb-cron
parent: marble-software-20260505-0
summary:
Marble is a virtual globe application which allows the user to choose among the Earth, the Moon, Venus, Mars and other planets to display as a 3-D model. It is free software under the terms of the GNU LGPL, developed by KDE for use on personal computers and smart phones. It is written in C++ and uses Qt. Marble is intended to be very flexible; beyond its cross-platform design, the core components can easily be integrated into other programs. It is designed to run without the need for hardware acceleration, but it can be extended to use OpenGL. An important user-experience objective being that the application start fairly quickly, it ships with a minimal but useful off-line dataset (5–10MB). Contributors have added support for on-line mapping sources such as OpenStreetMap and the ability to interpret KML files. Marble also provides route planning capabilities. A navigation mode called MarbleToGo was developed as part of Google Summer of Code 2010. It was later partially rewritten and renamed to Marble Touch. Geothek is a fork of Marble adding a statistics module, pixel maps, and a 3D view. It is developed and used by Austrian publisher Ed. Hölzel as atlas software for classrooms. ==


id: massive-online-analysis-20260505-0
file: data/en.wikipedia.org/wiki/Massive_Online_Analysis-0.md
category: reference
title: Massive Online Analysis
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Massive_Online_Analysis
date_saved: 2026-05-05T10:12:17.835224+00:00
instance: kb-cron
parent: massive-online-analysis-20260505-0
summary:
Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. It is written in Java and developed at the University of Waikato, New Zealand. == Description == MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the graphical user interface (GUI), the command-line, and the Java API. MOA contains several collections of machine learning algorithms: Classification Bayesian classifiers Naive Bayes Naive Bayes Multinomial Decision trees classifiers Decision Stump Hoeffding Tree Hoeffding Option Tree Hoeffding Adaptive Tree Meta classifiers Bagging Boosting Bagging using ADWIN Bagging using Adaptive-Size Hoeffding Trees. Perceptron Stacking of Restricted Hoeffding Trees Leveraging Bagging Online Accuracy Updated Ensemble Function classifiers Perceptron Stochastic gradient descent (SGD) Pegasos Drift classifiers Self-Adjusting Memory Probabilistic Adaptive Windowing Multi-label classifiers Active learning classifiers Regression FIMTDD AMRules Clustering StreamKM++ CluStream ClusTree D-Stream CobWeb. Outlier detection STORM Abstract-C COD MCOD AnyOut Recommender systems BRISMFPredictor Frequent pattern mining Itemsets Graphs Change detection algorithms These algorithms are designed for large scale machine learning, dealing with concept drift, and big data streams


id: mdynamix-20260505-0
file: data/en.wikipedia.org/wiki/MDynaMix-0.md
category: reference
title: MDynaMix
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MDynaMix
date_saved: 2026-05-05T10:12:18.988770+00:00
instance: kb-cron
parent: mdynamix-20260505-0
summary:
Molecular Dynamics of Mixtures (MDynaMix) is a computer software package for general purpose molecular dynamics to simulate mixtures of molecules, interacting by AMBER- and CHARMM-like force fields in periodic boundary conditions. Algorithms are included for NVE, NVT, NPT, anisotropic NPT ensembles, and Ewald summation to treat electrostatic interactions. The code was written in a mix of Fortran 77 and 90 (with Message Passing Interface (MPI) for parallel execution). The package runs on Unix and Unix-like (Linux) workstations, clusters of workstations, and on Windows in sequential mode. MDynaMix is developed at the Division of Physical Chemistry, Department of Materials and Environmental Chemistry, Stockholm University, Sweden. It is released as open-source software under a GNU General Public License (GPL). == Programs == md is the main MDynaMix block makemol is a utility which provides help to create files describing molecular structure and the force field tranal is a suite of utilities to analyze trajectories mdee is a version of the program which implements expanded ensemble method to compute free energy and chemical potential (is not parallelized) mge provides a graphical user interface to construct molecular models and monitor dynamics process == Field of application == Thermodynamic properties of liquids Nucleic acid -


id: milkyway-home-20260505-0
file: data/en.wikipedia.org/wiki/MilkyWay@home-0.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T10:12:20.204648+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
MilkyWay@home is a volunteer computing project in the astrophysics category, running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform. Using spare computing power from over 38,000 computers run by over 27,000 active volunteers as of November 2011, the MilkyWay@home project aims to generate accurate three-dimensional dynamic models of stellar streams in the immediate vicinity of the Milky Way. With SETI@home and Einstein@home, it is the third computing project of this type that has the investigation of phenomena in interstellar space as its primary purpose. Its secondary objective is to develop and optimize algorithms for volunteer computing. == Purpose and design == MilkyWay@home is a collaboration between the Rensselaer Polytechnic Institute's departments of Computer Science and Physics, Applied Physics and Astronomy and is supported by the U.S. National Science Foundation. It is operated by a team that includes astrophysicist Heidi Jo Newberg and computer scientists Malik Magdon-Ismail, Bolesław Szymański and Carlos A. Varela. By mid-2009 the project's main astrophysical interest is in the Sagittarius Stream, an immense stellar stream emanating from the Sagittarius Dwarf Spheroidal Galaxy that wraps around the Milky Way. Mapping such interstellar streams and their dynamics with high accuracy may provide crucial clues for understanding the


id: milkyway-home-20260505-1
file: data/en.wikipedia.org/wiki/MilkyWay@home-1.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T10:12:20.204648+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Mendelsohn, Eric J.; Newberg, Heidi Jo; Shelton, Siddhartha; Widrow, Lawrence M.; Thompson, Jeffery M.; Grillmair, Carl J. (1 February 2022). "Estimate of the Mass and Radial Profile of the Orphan–Chenab Stream's Dwarf-galaxy Progenitor Using MilkyWay@home". The Astrophysical Journal. 926 (2): 106. arXiv:2201.03637. Bibcode:2022ApJ...926..106M. doi:10.3847/1538-4357/ac498a. S2CID 245853837. Donlon, T.; Newberg, H.; Weiss, J.; Guffey, A.; Thompson, J. (2021-06-01). "A Trifurcated Sagittarius Stream in the South". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.03. Bibcode:2021DDA....5240303D. Mendelsohn, E. J.; Newberg, H. J.; Shelton, S.; Widrow, L.; Thompson, J.; Grillmair, C. (2021-06-01). "Estimate of the Mass and Radial Profile of the Orphan Stream's Dwarf Galaxy Progenitor Using MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 53 (5): 403.01. Bibcode:2021DDA....5240301M. Mendelsohn, E. J.; Newberg, H. J.; Donlon, T.; Thompson, J. M. (2020-08-01). "N-Body Simulations with MilkyWay@home". AAS/Division of Dynamical Astronomy Meeting. 52 (4): 200.01. Bibcode:2020DDA....5120001M. Donlon, Thomas; Newberg, Heidi Jo; Sanderson, Robyn; Widrow, Lawrence M. (2020-10-01). "The Milky Way's Shell Structure Reveals the Time of a Radial Collision". The Astrophysical Journal. 902 (2): 119. arXiv:2006.08764. Bibcode:2020ApJ...902..119D. doi:10.3847/1538-4357/abb5f6. S2CID 219708644. Shelton, Siddhartha; Newberg, Heidi Jo; Weiss, Jake; Bauer, Jacob S.; Arsenault, Matthew; Widrow, Larry; Rayment, Clayton; Desell, Travis; Judd, Roland; Magdon-Ismail, Malik; Mendelsohn, Eric; Newby, Matthew; Rice, Colin;


id: milkyway-home-20260505-2
file: data/en.wikipedia.org/wiki/MilkyWay@home-2.md
category: reference
title: MilkyWay@home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MilkyWay@home
date_saved: 2026-05-05T10:12:20.204648+00:00
instance: kb-cron
parent: milkyway-home-20260505-0
summary:
Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "An asynchronous hybrid genetic-simplex search for modeling the Milky Way galaxy using volunteer computing". Proceedings of the 10th annual conference on Genetic and evolutionary computation. pp. 921–928. doi:10.1145/1389095.1389273. ISBN 9781605581309. S2CID 10952453. Cole, Nathan; Newberg, Heidi Jo; Magdon-Ismail, Malik; Desell, Travis; Dawsey, Kristopher; Hayashi, Warren; Liu, Xinyang Fred; Purnell, Jonathan; Szymanski, Boleslaw; Varela, Carlos; Willett, Benjamin; Wisniewski, James (20 August 2008). "Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails". The Astrophysical Journal. 683 (2): 750–766. arXiv:0805.2121. Bibcode:2008ApJ...683..750C. doi:10.1086/589681. S2CID 1660060. Desell, Travis; Szymanski, Boleslaw; Varela, Carlos (2008). "Asynchronous genetic search for scientific modeling on large-scale heterogeneous environments". 2008 IEEE International Symposium on Parallel and Distributed Processing. pp. 1–12. doi:10.1109/IPDPS.2008.4536169. ISBN 978-1-4244-1693-6. S2CID 1107218. Szymanski, Boleslaw K.; Desell, Travis; Varela, Carlos (2008). "The Effects of Heterogeneity on Asynchronous Panmictic Genetic Search". Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science. Vol. 4967. pp. 457–468. CiteSeerX 10.1.1.78.2043. doi:10.1007/978-3-540-68111-3_48. ISBN 978-3-540-68105-2. Desell, Travis; Cole, Nathan; Magdon-Ismail, Malik; Newberg, Heidi; Szymanski, Boleslaw; Varela, Carlos (2007). "Distributed and Generic Maximum Likelihood Evaluation". Third IEEE International Conference on e-Science and Grid Computing (E-Science 2007). pp. 337–344. CiteSeerX 10.1.1.65.4065. doi:10.1109/E-SCIENCE.2007.30. ISBN 978-0-7695-3064-2. S2CID


id: mimee-20260505-0
file: data/en.wikipedia.org/wiki/Mimee-0.md
category: reference
title: Mimee
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Mimee
date_saved: 2026-05-05T10:12:21.376962+00:00
instance: kb-cron
parent: mimee-20260505-0
summary:
Mimee is a program which can convert geographical coordinates between various datums and formats. == Features == Supported coordinates formats are : Latitude and longitude in decimal degrees, degrees and decimal minutes, degrees-minutes-seconds, or grads Geocentric (or Cartesian) coordinates (XYZ) UTM Transverse Mercator, Oblique Mercator, and Conic. 232 datums and 36 grids are provided in Mimee. == Compatibility == The online version is cross-platform. It can be used in any navigator in Linux, Mac, Windows, and in mobile phones. The stand-alone versions runs on Linux and Palm OS. == References == == External links == (in French) Official website (in English) Online version


id: mindmodeling-home-20260505-0
file: data/en.wikipedia.org/wiki/MindModeling@Home-0.md
category: reference
title: MindModeling@Home
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/MindModeling@Home
date_saved: 2026-05-05T10:12:22.618731+00:00
instance: kb-cron
parent: mindmodeling-home-20260505-0
summary:
MindModeling@Home is an inactive non-profit, volunteer computing research project for the advancement of cognitive science. MindModeling@Home is hosted by Wright State University and the University of Dayton in Dayton, Ohio. In BOINC, it is in the area of Cognitive Science and category called Cognitive science and artificial intelligence. It can only operate on a 64-bit operating system, preferably on a computer with multiple cores, running a Microsoft Windows, Mac OS X, or Linux operating system. This project is not compatible with mobile devices, unlike other projects on BOINC. == Research focus == N-2 Repetition: understanding how people have a harder time returning to a task from another one Observing how people read through their eye movement for the purpose of helping people reduce eye strain and processing what they read better and faster. Modeling decision-making: resolving around decisions made from visual processing (focus and filtering) Integrated Learning Models (ILM) to create algorithms based on how people learn and make decisions How the brain performs tasks sequentially and simultaneously by measuring its blood flow == Problems == Its status is inactive. However, it is "not down or closed," as its servers are still running. The projects are long; prolonged amounts of


id: mlpack-20260505-0
file: data/en.wikipedia.org/wiki/Mlpack-0.md
category: reference
title: Mlpack
tags: science, encyclopedia
source_url: https://en.wikipedia.org/wiki/Mlpack
date_saved: 2026-05-05T10:12:23.835170+00:00
instance: kb-cron
parent: mlpack-20260505-0
summary:
mlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo library and the ensmallen numerical optimization library. mlpack has an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack has also a light deployment infrastructure with minimum dependencies, making it perfect for embedded systems and low resource devices. Its intended target users are scientists and engineers. It is open-source software distributed under the BSD license, making it useful for developing both open source and proprietary software. Releases 1.0.11 and before were released under the LGPL license. The project is supported by the Georgia Institute of Technology and contributions from around the world. == Features == === Classical machine learning algorithms === mlpack contains a wide range of algorithms that are used to solve problems from classification and regression in the Supervised learning paradigm to clustering and dimension reduction algorithms. In the following, a non exhaustive list of algorithms and models that mlpack supports: Collaborative


